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三维模式识别技术在古生界潜山油藏预测中的应用
引用本文:姜素华,肖姹莉,王永诗,童思友,王兵,王亚琳. 三维模式识别技术在古生界潜山油藏预测中的应用[J]. 中国海洋大学学报(自然科学版), 2003, 33(4): 595-602
作者姓名:姜素华  肖姹莉  王永诗  童思友  王兵  王亚琳
作者单位:1. 中国海洋大学,青岛,266003;石油大学,东营,257061
2. 西南油气田分公司勘探开发研究院,成都,610016
3. 胜利油田有限公司地质科学研究院,东营,257015
4. 中国海洋大学,青岛,266003
摘    要:本文介绍了三维模式识别的方法及在古生界潜山油藏预测中的应用。三维模式识别是在二维模式识别的基础上开发研制的 ,能有效地解决测线交点处预测结果不闭合等问题 ,客观地展现储层的横向变化 ,避免了人为解释的主观片面性和多解性 ,尤其对非均质性很强的碳酸盐岩缝洞型油气藏的储层预测效果明显。在胜利探区 CG2 0潜山 ,针对复杂的碳酸盐岩缝洞型储层 ,首次尝试性使用三维模式识别技术预测储层 ,取得了较好的效果。

关 键 词:模式识别  储层预测  地震特征参数
文章编号:1001-1862(2003)04-595-08
修稿时间:2002-09-28

Application of 3-D Pattern Recognition to Prediction of Paleozoic Buried Bill Reservoirs
Jiang Suhua , Xiao Chali Wang Yongshi Tong Siyou Wang Bing Wang Yalin. Application of 3-D Pattern Recognition to Prediction of Paleozoic Buried Bill Reservoirs[J]. Periodical of Ocean University of China, 2003, 33(4): 595-602
Authors:Jiang Suhua    Xiao Chali Wang Yongshi Tong Siyou Wang Bing Wang Yalin
Affiliation:Jiang Suhua 1,2 Xiao Chali3 Wang Yongshi4 Tong Siyou1 Wang Bing3 Wang Yalin4
Abstract:In this paper the means of 3-D pattern recognition and its application to the prediction of Paleozoic buried hill reservoirs are presented. The 3-D pattern recognition is developed. It is based on the 2-D pattern recognition which is capable of solving problems such as the non-closure of predicted results at the intersections and of describing the horizontal distribution of the reservoir objectively and which is particularly effective for reservoir prediction in areas with strongly inhomogeneous carbonate rocks gaps and holes. Satisfactory results are obtained by using this method for the first time in the prediction of reservoirs in the CG20 buried hill, which possesses the above mentioned features.
Keywords:3-D pattern recognition  reservoir prediction  seismic characteristic parameter
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